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- Behjat, HamidLund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH (author)
Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical Graphs
- Article/chapterEnglish2020
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- 2020
- 5 s.
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- LIBRIS-ID:oai:lup.lub.lu.se:a8c5b305-19af-48b5-9d1a-9f786d514e9a
- https://lup.lub.lu.se/record/a8c5b305-19af-48b5-9d1a-9f786d514e9aURI
- https://doi.org/10.1109/ISBI45749.2020.9098667DOI
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- Language:English
- Summary in:English
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- The human cortical layer exhibits a convoluted morphology that is unique to each individual. Conventional volumetric fMRI processing schemes take for granted the rich information provided by the underlying anatomy. We present a method to study fMRI data on subject-specific cerebral hemisphere cortex (CHC) graphs, which encode the cortical morphology at the resolution of voxels in 3-D. Using graph signal processing principles, we study spectral energy metrics associated to fMRI data, on 100 subjects from the Human Connectome Project database, across seven tasks. Experimental results signify the strength of CHC graphs' Laplacian eigenvector bases in capturing subtle spatial patterns specific to different functional loads as well as to sets of experimental conditions within each task.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Medicinteknik Medicinsk bildbehandling hsv//swe
- ENGINEERING AND TECHNOLOGY Medical Engineering Medical Image Processing hsv//eng
- cortical morphology
- functional MRI
- graph signal processing
Added entries (persons, corporate bodies, meetings, titles ...)
- Larsson, MartinLund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)ma2618la (author)
- Avdelningen för Biomedicinsk teknikInstitutionen för biomedicinsk teknik (creator_code:org_t)
Related titles
- In:ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging2020-April, s. 558-5621945-79281945-84529781538693308
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